Abstract: With extensive pretrained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects, such as ...
Java ranked third in the Tiobe Index for January 2026 at 8.71%, holding steady behind Python and C and just ahead of C++. Tiobe named C# its Programming Language of the Year for 2025 after the largest ...
Jessica Mary Bradley currently receives funding from the British Academy / Leverhulme Trust in collaboration with Wellcome. Abigail Parrish does not work for, consult, own shares in or receive funding ...
Language learning is often a daunting prospect. Many of us wish we had learned a language to a higher level at school. But even though adults of all ages can do well in acquiring a new language, ...
Learning a new language before the Internet was brutal. It involved dense textbooks and a bunch of in-person classes, spending innumerable hours en route to full fluency. We've come a long way since ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
I’ve always thought of language teaching as both an art and a craft. My own journey started in Morocco, where I spent nine years teaching English as a Foreign Language in a variety of schools: public, ...
What’s happened? Perplexity AI just dropped a new language learning feature built right into its platform. In a post shared on social media, the company announced a tool that helps users learn by ...
Language learning apps like Duolingo are useful, but they have their limits. They're ideal for getting started with a new language, beefing up vocabulary, practicing skills, and even having fun ...
Many legacy platforms built their reputation on streaks, badges, and gamified practice, a formula that made language learning accessible but often left learners strong on recognition but weaker on ...
Abstract: Reinforcement Learning (RL) agents optimize policies based on provided rewards, yet may exploit unintended loopholes in the reward design, a phenomenon known as reward hacking. With the rise ...